Traditional imaging systems exhibit a well-known trade-off between the resolution and the
field of view of their captured images. Typical cameras and microscopes can either “zoom in” …

Algorithmic phase retrieval offers an alternative means to recover the phase of optical
images without requiring sophisticated measurement setups such as holography. This …

In diverse microscopy modalities, sensors measure only real-valued intensities. Additionally,
the sensor readouts are affected by Poissonian-distributed photon noise. Traditional …

Fourier ptychography (FP) involves the acquisition of several low-resolution intensity images
of a sample under varying illumination angles. They are then combined into a high …

Deep learning-based face recognition (FR) systems pose significant privacy risks by tracking
users without their consent. While adversarial attacks can protect privacy, they often produce …

The characterization of Room Impulse Responses (RIR) over an extended region in a room
by means of measurements requires dense spatial with many microphones. This can often …

This paper introduces and solves the simultaneous source separation and phase retrieval (S
3 PR) problem. S 3 PR is an important but largely unsolved problem in a number application …

Recently pretrained generative models have shown promising results for subsampled
Fourier Ptychography (FP) in terms of quality of reconstruction for extremely low sampling …

In inverse problems, the task is to reconstruct an unknown signal from its possibly noise-
corrupted measurements. Penalized-likelihood-based estimation and Bayesian estimation …

In this paper, we consider the highly ill-posed problem of jointly recovering two real-valued
signals from the phaseless measurements of their circular convolution. The problem arises …